Description

Job Description

Job Description:
Key Responsibilities:

  • Worked in processing data, campaign performance, social organic/campaign performance, what data is available, paid media space, digital marketing experience.
  • Analyze large datasets to extract meaningful insights and improve marketing strategies.
  • Develop predictive models using machine learning techniques to optimize marketing campaigns.
  • Utilize Python and R for data manipulation, statistical analysis, and visualization.
  • Design and implement A/B tests to assess marketing effectiveness.
  • Work with structured and unstructured data to develop insights on customer behavior.
  • Collaborate with marketing, sales, and product teams to enhance data-driven decision-making.
  • Optimize data pipelines and ensure data integrity for marketing analytics.
  • Present findings and recommendations to stakeholders through clear and actionable reports.

Required Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience in data science, analytics, and marketing systems.
  • Proficiency in Python, R, and SQL for data processing and analysis.
  • Strong knowledge of machine learning, statistical modeling, and data visualization techniques.
  • Experience working with marketing automation tools, CRM systems, and digital marketing analytics.
  • Hands-on experience with A/B testing, customer segmentation, and predictive modeling.
  • Ability to translate complex data findings into actionable business strategies.
  • Excellent problem-solving, analytical, and communication skills.

Education

Bachelor’s or Master’s degree in Data Science, Computer Science